Ekimetrics is a pioneering leader in data science and AI-powered solutions for sustainable business performance
Marketing • Statistics • Big Data • CRM • Marketing Mix Modeling
July 12
🔄 Hybrid – London
Ekimetrics is a pioneering leader in data science and AI-powered solutions for sustainable business performance
Marketing • Statistics • Big Data • CRM • Marketing Mix Modeling
• Lead the data engineering practices within project teams • Ensure delivery of highly valuable and effective data science solutions • Support Managers and clients by sharing insights and managing technical relationship • Provide tools and advice for data ingestion, processing, and analysis • Develop and share knowledge within project teams and exciting topics • Contribute to building high-end client materials and commercial proposals • Mentor Data Engineers and contribute to their development • Implement complex algorithms in a Big Data environment • Be an innovative subject matter expert • Work on end-to-end projects for prestigious clients
• Degree in Computer Science, Engineering, Mathematics, or a related field • 4+ years of work experience in data engineering and a passion for data • 4+ years of extensive experience in Azure Cloud platform architecture and in-depth experience developing and deploying production-ready Data Engineering pipelines • 4 + years experience building data products incrementally and integrating and managing data sets from multiple sources • 4+ years hands on experience in key data management technologies, including Python but not limited to SQL, PySpark, Scoop, etc • Experience working on use cases for different file formats and database management systems including NOSQL databases • Conceptual understanding of data management including, governance processes and platforms, data visualisation, transformation in data-warehouses or data-lakes • Ability to apply analytical and innovative thought processes in creating Data Engineering market ready capabilities
• Competitive Salary + Bonus Scheme • Hybrid working (2 days a week in the office) • Work remotely anywhere up to 20 days a year • 25 days annual leave (+ Bank Holidays and additional days for tenure) • Private healthcare, life insurance, critical illness cover, and professional wellbeing support services • Group pension scheme • An emphasis on work-life-balance and a strong company culture • Unique training programs and learning opportunities • Opportunities for international mobility • Regular socials and events
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